2000~2012 Big Data Analysis on the Judgment of Criminal Medical Malpractice in District Courts in Taiwan from 2000 to 2012 - Predicting the Judgment with Machine Learning
碩士 === 國立中興大學 === 法律學系碩士在職專班 === 105 === Recently, there are so many criminal medical malpractice lawsuits in Taiwan. We searched all the district criminal court’s medical malpractice judgements in Taiwan during the period of 2000 to 2012. The research selected 235 cases for further analysis randoml...
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ndltd-TW-105NCHU51940212017-10-09T04:30:39Z http://ndltd.ncl.edu.tw/handle/11260793523524505867 2000~2012 Big Data Analysis on the Judgment of Criminal Medical Malpractice in District Courts in Taiwan from 2000 to 2012 - Predicting the Judgment with Machine Learning 2000~2012 全國各地方法院刑事醫療糾紛判決大數據分析–以機器學習預測判決結果 Chih-Wen Su 蘇智文 碩士 國立中興大學 法律學系碩士在職專班 105 Recently, there are so many criminal medical malpractice lawsuits in Taiwan. We searched all the district criminal court’s medical malpractice judgements in Taiwan during the period of 2000 to 2012. The research selected 235 cases for further analysis randomly. Due to the complexity of medical malpractice lawsuit, the traditional studies in medical malpractice focused mainly on identifying the fault or establishing the medical routine and other legal empirical studies focused on factors affecting judgement. These studies could not help to predict the judgement before prosecution. Now, we could use Microsoft Azure Machine Learning to do further analysis and forecasting. We provided the forecast information. The research may assist the plantiff and the defendant to make the adequate decision and reduce the rate of prosecution. 蔡蕙芳 2017 學位論文 ; thesis 89 zh-TW |
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碩士 === 國立中興大學 === 法律學系碩士在職專班 === 105 === Recently, there are so many criminal medical malpractice lawsuits in Taiwan. We searched all the district criminal court’s medical malpractice judgements in Taiwan during the period of 2000 to 2012. The research selected 235 cases for further analysis randomly. Due to the complexity of medical malpractice lawsuit, the traditional studies in medical malpractice focused mainly on identifying the fault or establishing the medical routine and other legal empirical studies focused on factors affecting judgement. These studies could not help to predict the judgement before prosecution. Now, we could use Microsoft Azure Machine Learning to do further analysis and forecasting. We provided the forecast information. The research may assist the plantiff and the defendant to make the adequate decision and reduce the rate of prosecution.
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author2 |
蔡蕙芳 |
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蔡蕙芳 Chih-Wen Su 蘇智文 |
author |
Chih-Wen Su 蘇智文 |
spellingShingle |
Chih-Wen Su 蘇智文 2000~2012 Big Data Analysis on the Judgment of Criminal Medical Malpractice in District Courts in Taiwan from 2000 to 2012 - Predicting the Judgment with Machine Learning |
author_sort |
Chih-Wen Su |
title |
2000~2012 Big Data Analysis on the Judgment of Criminal Medical Malpractice in District Courts in Taiwan from 2000 to 2012 - Predicting the Judgment with Machine Learning |
title_short |
2000~2012 Big Data Analysis on the Judgment of Criminal Medical Malpractice in District Courts in Taiwan from 2000 to 2012 - Predicting the Judgment with Machine Learning |
title_full |
2000~2012 Big Data Analysis on the Judgment of Criminal Medical Malpractice in District Courts in Taiwan from 2000 to 2012 - Predicting the Judgment with Machine Learning |
title_fullStr |
2000~2012 Big Data Analysis on the Judgment of Criminal Medical Malpractice in District Courts in Taiwan from 2000 to 2012 - Predicting the Judgment with Machine Learning |
title_full_unstemmed |
2000~2012 Big Data Analysis on the Judgment of Criminal Medical Malpractice in District Courts in Taiwan from 2000 to 2012 - Predicting the Judgment with Machine Learning |
title_sort |
2000~2012 big data analysis on the judgment of criminal medical malpractice in district courts in taiwan from 2000 to 2012 - predicting the judgment with machine learning |
publishDate |
2017 |
url |
http://ndltd.ncl.edu.tw/handle/11260793523524505867 |
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